On the modeling of ageing using Weibull models: Case studies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27600%2F09%3A00021198" target="_blank" >RIV/61989100:27600/09:00021198 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

On the modeling of ageing using Weibull models: Case studies

Popis výsledku v původním jazyce

Weibull models appear to be very flexible and widely used in the maintainability field for ageing models. The aim of this contribution is to systematically study the ability of classically used one-mode Weibull models to approximate the bathtub reliability model. Therefore, we analyze lifetime data simulated from different reference cases of the well-known bathtub curve model, described by a bi-Weibull distribution (the infant mortality is skipped, considering the objective of modeling ageing). The Maximum Likelihood Estimation (MLE) method is then used to estimate the corresponding parameters of a 2-parameter Weibull distribution, commonly used in maintenance modeling, and the same operation is performed for a 3-parameter Weibull distribution, with either a positive or negative shift parameter. Several numerical Studies are presented, based first large and complete samples of failure data, then a censored data set, the failure data being limited to the useful life region and to the st

Název v anglickém jazyce

On the modeling of ageing using Weibull models: Case studies

Popis výsledku anglicky

Weibull models appear to be very flexible and widely used in the maintainability field for ageing models. The aim of this contribution is to systematically study the ability of classically used one-mode Weibull models to approximate the bathtub reliability model. Therefore, we analyze lifetime data simulated from different reference cases of the well-known bathtub curve model, described by a bi-Weibull distribution (the infant mortality is skipped, considering the objective of modeling ageing). The Maximum Likelihood Estimation (MLE) method is then used to estimate the corresponding parameters of a 2-parameter Weibull distribution, commonly used in maintenance modeling, and the same operation is performed for a 3-parameter Weibull distribution, with either a positive or negative shift parameter. Several numerical Studies are presented, based first large and complete samples of failure data, then a censored data set, the failure data being limited to the useful life region and to the st

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

European Safety and Reliability Conference (ESREL)/17th Annual Meeting of the Society-for-Risk-Analysis-Europe (SRA-Europe)

ISBN

978-0-415-48513-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

CRC PRESS-TAYLOR & FRANCIS GROUP

Místo vydání

London

Místo konání akce

Valencia

Datum konání akce

22. 9. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000266027000071